Two years after ChatGPT, this is how generative AI has advanced

Available AI tools

After two years of the boom caused by OpenAI, ChatGPT is one of the most used tools worldwide, thanks to its various functions, such as the ability to generate images or videos, as well as the options to perform searches. However, there are more options on the market.

In 2024, Google changed the name of its Bard assistant to Gemini and with it a series of tools similar to ChatGPT were launched. This week, the Mountain View company announced new features such as Veo 2, which generates videos of various topics and styles and will be available in YouTube Shorts and other products in 2025.

It also has Image 3, to generate better composed and more faithful images in various artistic styles (from realism to anime), as well as Whisk, a new experiment from Google Labs that allows you to enter or create images that represent a theme, scene or style .

In addition to these two major competitors, there are also alternatives such as Copilot, based on ChatGPT technology, or Claude, a chatbot developed by the startup.

Anthropic, which is one of the most attractive and in which companies like Amazon or Google have invested.

Who is leading the AI ​​race?

Despite the chip restrictions that the United States has imposed on China, this is one of the countries that has developed the most in the field of AI, thanks to an approach of betting on working with large open language models (open source), which has allowed greater evolution and parity in the technology race.

But beyond large economies, among the companies that are at the forefront of investments around AI is Microsoft, which has injected around $14 billion into OpenAI to finance its products.

On the other hand, Amazon has invested a total of $8 billion in Anthropic, one of OpenAI’s main rivals, and as part of the agreement between both companies, Amazon Web Services, the cloud computing division, became the “partner.” Anthropic Cloud and Training Principal.”

Google also has 2 billion dollars invested in it, but that is not its only effort in the field, as it has products such as Gemini 2.0, a more agile model especially focused on the construction of intelligent agents, that is, productivity tools capable of to understand contexts, anticipate and act on behalf of the user under their supervision.

It should be noted that for this new year of generative AI, the trend of autonomous agents will gain more strength, even to the point of being seen as the technological evolution of chatbots, because they can serve as a virtual worker to whom delegate tasks and do them as if they were the collaborator.